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Large global banks were at the heart of the global financial crisis. In response to the crisis, the Financial Stability Board published an integrated set of policy measures, such as capital surcharges, to address the systemic and moral hazard risks associated with global systemically important banks (G-SIBs). Almost 10 years later, it is time to take stock of the impact of these measures. This paper answers three questions on what happened to the G-SIBs. First, have they shrunk in size? Second, are they better capitalised? Third, have they reduced their global reach?

This paper looks at the individual G-SIBs and compares the situation before the crisis with the current situation. In this methodology, the differences because of changes at individual banks and changes in the ranking within the group (composition effect) are disentangled. Data have been collected on these banks from SNL Financial (banking database) and annual reports.

First, a substantial increase in capital levels is seen, though the distribution is uneven. China and USA are leading the pact with leverage ratios (Tier 1 capital divided by total assets) of around 7 per cent for their large banks, whereas Europe and Japan are trailing behind with ratios between 4 and 5 per cent. Second, a strong composition effect is identified: a shift of business from the global European banks to the more domestic Asian banks, which are gradually increasing their global reach. The US banks keep their strong position. So, the decline in cross-border banking is largely because of a composition effect (i.e. a reshuffle of the global banking champions league) and far less due to a reduced global reach of individual banks.

From the results on capital, recommendations are made on capital requirements (see below at social implications).

It is noted that the euro area, Japan, Sweden and Switzerland trail behind with a leverage ratio between 4 and 5 per cent. It is recommended these countries bring the leverage ratio of their largest banks more in line with international practice.

The effects of the reform after the global financial crisis on the large global banks have not been researched in detail. This paper split the results by country of incorporation (home country). This gives interesting differences, which the paper relates to specific policies (or lack of policies) in these countries.

The objective of this work is to analyse worldwide trends in financial supervision architectures. The focus is on the key issue in the debate – the single supervisor versus multiauthority model – in order to build up indexes of supervision unification, essential to perform studies on the causes and effects of various supervisory regimes. First, the paper introduces a Financial Authorities’ Concentration (FAC) Index. A comparative analysis of 69 countries confirmed that an increase in the degree of concentration of supervisory powers is evident in the developed countries, and particularly in the European Union. Secondly, the paper considers the nature of the institutions to which control responsibilities are entrusted. In particular, the role the central bank plays in the various national institutional settings is examined. An index of the central bank’s involvement in financial supervision is introduced, the Central Bank as Financial Authority (CBFA) Index. Each national institutional structure can be identified with the two above characteristics. Two models are the most frequent: (a) countries with a high level of unification of powers and weak central bank involvement (single financial authority regimes); and, (b) countries with a low level of unification of powers and strong central bank involvement (central bank dominated multiple supervisor regimes). A trade‐off therefore emerges between the degree of financial sector unification and the role of the central bank. Two possible explanations of this relationship emerged: the blurring hazard effect and the monopolistic bureau effect.

This study aims to propose a solution to accelerate financing support low carbon (circular economy) transition. The authors developed a sustainability governance (SGOV) model and a sustainability governance (SGOV) index as a proxy for the diffusion of sustainability innovation. This study investigates the effect of SGOV practices on profitability with the mediating role of operational efficiency.

The SGOV index consists of 32 and 122 sub-items, constructed using content analysis of annual and sustainability reports published by banks listed on the Indonesia Stock Exchange (IDX) from 2010 to 2020 (404 bank-year observations).

Banks are at a moderate level of sustainability innovation. They are prioritizing the balance aspects of financial, social and environmental. SGOV practice negatively affects profitability. However, operational efficiency plays a positive mediating role that is robust.

The measurement of the SGOV index uses criteria that have not been tested in previous studies. There is the potential subjectivity in interpreting qualitative data, although this has been minimized by cross-checking the analysis of five raters.

This study gives feedback for the Indonesia sustainable finance (SF) journey phase I to proceed into SF journey phase II.

The SGOV model can be applied in other industry sectors to know the readiness for entering low carbon (circular economy) transition.

The uniqueness of the scoring technique assuming a step-by-step innovation model to sustainable finance.

The growing adoption of sustainable finance for inclusive agribusiness requires a cross-country comparison. In this paper, a comparative discourse of sustainable finance (SF) options for agribusiness transformation in Nigeria and Brunei is attempted; as well as examining the implications on entrepreneurship and enterprise development in both countries.

A mixed research method was adopted for this cross-country comparative analysis. To gain deeper insight into agribusiness and SF, the authors sourced the required data from scholarly articles, texts, World Bank data (2000–2016), national policy documents, working papers, national development plan reports, and other online resources on agribusiness and SF. The authors adopted mixed data (non-numeric and numeric data) because they allow for combining content analysis and secondary data in quantitative analysis (Williams and Shepherd, 2017). This mixed method approach follows a three-stage, namely: Data sourcing, Data development and conversion and Data analysis.

This discourse based on the mixed data produced four findings. Firstly, it was found that both countries have different statuses in the agribusiness sector, but Brunei had better growth performance in the crop, food, livestock, cereal production indices compared to Nigeria. Secondly, the challenges facing agribusiness in both countries include inadequate funding, misuse/mismanagement of land resources, deployment of extractive farming practices, application of ozone-depleting chemicals and pesticides among others have harmed the vegetation, the farmland, and the chemistry of the ocean resulting in low productivity. Thirdly, the SF options that are suitable for agribusiness transformation are green loans, green bonds, green credit, green investment funds, green mortgage scheme and other green financial support instruments given mostly as grants, subsidies and tax reliefs. The key guidelines for entrepreneurs seeking SF options for agribusiness are Principles 2, 4, 5, 6, 8, 9 and 10 of the EPs.

The main limitation of the study is that the analysis and interpretation of the findings are based on descriptive statistics. However, future research should consider using rigorous econometric tests such as the Co-Integration Test, Test of Causality and Inferential Statistics that would enhance stronger generalisation and prediction.

The practical implication is that agribusiness transformation through sustainable finance options (SFOs) would bring about a structural change from the current subsistence agricultural practices to large-scale agriculture practices characterised by the deployment of agricultural information systems (AGRIS), precision agriculture and agricultural technologies. Flowing from the first implication, the nexus between agribusiness and SFOs will systematically improve agricultural productivity in the areas of crop production, fishing, livestock and forestry in both countries. Thirdly, an improved agribusiness would boost food production and availability thereby mitigating the rising trends in food insecurity, food inflation, food poverty, and ultimately will help actualize SDG 1(No poverty), SDG 2 (Zero Hunger), and SDG 3 (Good Health and Wellbeing).

The authors contribute to the literature on SF and agribusiness in emerging economies by identifying an inclusive strategy that matters for agribusiness transformation in high-income and low-income economies.

The global financial crisis demonstrated that monetary policy alone cannot ensure both price and financial stability. According to the Tinbergen (1952) rule, there was a gap in the policymakers’ toolkit for safeguarding financial stability, as the number of available policy instruments was insufficient relative to the number of policy objectives. That gap is now being closed through the creation of new macroprudential policy instruments. Both monetary policy and macroprudential policy have the capacity to influence both price and financial stability objectives. This paper develops a framework for determining how best to assign instruments to objectives.

Using a simplified New-Keynesian model, the authors examine two sets of policy trade-offs, the first concerning the relative effectiveness of monetary and macroprudential policy instruments in achieving price and financial stability objectives and the second concerning trade-offs between macroprudential policy instruments themselves.

This model shows that regardless of whether the objective is to enhance financial system resilience or to moderate the financial cycle, macroprudential policies are more effective than monetary policy. Likewise, monetary policy is more effective than macroprudential policy in achieving price stability. According to the Mundell (1962) principle of effective market classification, this implies that macroprudential policy instruments should be paired with financial stability objectives, and monetary policy instruments should be paired with the price stability objective. The authors also find a trade-off between the two sets of macroprudential policy instruments, which indicates that failure to moderate the financial cycle would require greater financial system resilience.

The main contribution of the paper is to establish – with the help of a model framework – the relative effectiveness of monetary and macroprudential policies in achieving price and financial stability objectives. By so doing, it provides a rationale for macroprudential policy and it shows how macroprudential policy can unburden monetary policy in leaning against the wind of financial imbalances.

This study investigated the visibility of carbon emissions allowances accounting in the financial reports of 32 clean development mechanism (CDM) projects in the UAE to uncover the obstacles to setting consistent standards for carbon emission accounting. As carbon emissions are monetized as credits, consistent accounting standards can aid decision-makers in the development of carbon emission mitigation strategies.

This study used a grounded theoretical framework for exploring the terms used in the policy documents of international accounting bodies regarding accounting standards and guidelines for carbon emission credits. Raw qualitative data were gathered, and an inductive approach was used by analyzing documents from various sources using the qualitative data text analysis software QDA Miner 6.

The findings showed that the financial statement reports of the corporations did not include disclosure of the carbon credit account. This omission was due to the lack of global standardization of carbon credit accounts and emission allowance recognition. This may hinder the production of a comprehensive report containing accurate and valuable financial information relevant to all stakeholders.

The study is among the first to use a grounded theoretical framework to investigate whether corporations are applying common standards and guidelines for carbon emissions accounting.

This paper aims to show the interaction effects between clusters and cluster-specific attributes and the industrial internet of things (IoT) knowledge of a firm on the innovativeness of firms. Cluster theory and the concept of key enabling technologies are linked to test their effect on a firm’s incremental and radical knowledge generation.

Quantitative approach at the firm-level. By combining several data sources (e.g. ORBIS, PATSTAT and German subsidy catalogue) the paper relies on a unique database encompassing 8,347 firms in Germany. Ordinary least squares (OLS)-regression techniques are used for data analysis.

Industrial IoT is an important driver of radical patents, mediated positively by firm size. For incremental knowledge, a substitution effect occurs between a cluster and IoT effects, which is bigger for larger firms and dependent on cluster attributes and firms’ outside connections.

The paper opens up new research paths considering long-term disruptive effects of the industrial IoT compared to short-term effects on the innovativeness of firms within clusters. Additionally, it enables further research enriching the discussion about cluster attributes and how these affect ongoing processes.

Linking cluster theory and policy with Industry 4.0 raises awareness for being considerate in terms of funding and scrutinising one-size-fits-all approaches.

Connecting the concepts of a cluster and advanced manufacturing technologies as a proxy for industrial IoT, specifically focussing on both radical and incremental innovations is a new approach. Especially, taking into account the interaction effects between cluster attributes and the influence of industrial IoT on the innovativeness of firms.